{"id":"W2146758547","doi":"10.3808/jei.200800119","title":"A Web-Based and Mobile Environmental Management System","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Enforcement; Context (archaeology); Computer science; World Wide Web; Task (project management); Field (mathematics); Global Positioning System; Fish <Actinopterygii>; Web application; Data science; Environmental resource management; Geography; Fishery; Engineering; Ecology; Environmental science; Systems engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707779,0.0001968177,0.0002604787,0.00008998276,0.0002917151,0.00001307128,0.0002167503,0.00006408381,0.0008856507],"category_scores_gemma":[0.000002472632,0.0001692694,0.00009015256,0.00005832696,0.0004956838,0.0004698528,0.0003508827,0.0001674639,0.0003220426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003643536,"about_ca_system_score_gemma":0.000003722757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.639414e-7,"about_ca_topic_score_gemma":0.000001364896,"domain_scores_codex":[0.9985105,0.00003188049,0.0006620847,0.00009815855,0.0004416915,0.0002556795],"domain_scores_gemma":[0.9992229,0.00003486125,0.0004442449,0.0001708649,9.188308e-7,0.0001261794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002398596,0.001316178,0.9100963,0.000323488,0.0005473832,0.0007537338,0.005060782,0.01133965,0.001094618,0.00008651694,0.05842148,0.01071999],"study_design_scores_gemma":[0.004335661,0.001024597,0.8115678,0.00006563902,0.0002435849,0.001071834,0.01088756,0.00611176,0.0003454665,0.00002817786,0.163762,0.0005558739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881452,0.00008773303,0.0004432564,0.00004246068,0.000142352,0.0002955669,0.00001779793,0.00001795717,0.01080768],"genre_scores_gemma":[0.9920518,0.0008640512,0.006029545,0.0005476968,0.00002260169,0.00001733574,0.000004479523,0.00001250389,0.0004500286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053405,"threshold_uncertainty_score":0.9697254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004844163777532691,"score_gpt":0.1721042847671696,"score_spread":0.1672601209896369,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}